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SYLLABUS

PSYC 3613 Statistics for Psychology II Fall II 2018

Instructor: Dr. Peter A. Metofe

Section # and CRN: P01 10358

Office Location: Juvenile Justice Building 255

Office Phone: 936-261-5224 Email Address: [email protected]

Office Hours: MW-11:00 am – 2:00 pm; TR 2:00 pm – 4:00 pm Mode of Instruction: Face To Face/Online

Course Location: Juvenile Justice Building 260 Class Days & Times: MTWR 5:00 pm - 7:40 pm Catalog Description: Applies statistical techniques in the field of psychology. Covers the use of large and small

samples for statistical inference, linear and multiple regression, time series models and forecasting, nonparametric methods, the chi square test for cell probabilities, and contingency tables. Statistical packages for the social sciences will be studied in depth

Prerequisites: PSYC 2613 (Statistics 1) Co-requisites:

Required Texts: Gravetter, F. J., & Wallnau, L. B. (2013). Statistics for the Behavioral Sciences (9th ed.). Belmont, CA: Wadsworth/Thomson Learning. .

Recommended Texts:

Student Learning Outcomes:

Upon successful completion of this course, students will be able to:

Program Learning

Outcome # Alignment

Core Curriculum Outcome Alignment

1 Choose the appropriate statistical model for a particular problem. 5 Communication

2 Know the conditions that are typically required when fitting various models

5 Empirical and Quantitative

Skills

3 Describe descriptive and inferential statistics found within journal articles 5 Critical Thinking

4 Assess whether or not the conditions for a particular model are reasonably met for a specific dataset

5 Critical Thinking

5 Have some strategies for dealing with data when the conditions for a statistical model are not met.

5 Critical Thinking

6 Use the appropriate model to make appropriate inferences. 5 Communication

7 Analyze data using the Statistical Package for Social Sciences (SPSS). 5 Communication, and Empirical

and Quantitative Skills

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Major Course Requirements Method of Determining Final Course Grade

Course Grade Requirement

Value Total

1) Exams 2 Exams: 20% each 40% 2) Final 1 Final 25% 3) Quizzes 8 - 10 Quizzes 10% 4) Assignments 8 - 10 Assignments 10% 5) Attendance Attendance 5% 6) SPSS Project 1 Project 10% Total: 100% Grading Criteria: A = 90% - 100% B = 80% - 89% C = 70% - 79% D = 60% - 69% F = < 60%

Detailed Description of Major Requirements: 1. Exams and Quizzes (75%) – Social responsibility, Quantitative and Critical Thinking skills will be demonstrated

by student performance on two exams (50 items each), one comprehensive final (100 items) and several quizzes made up of interactive problem solving multiple choice items with their use of cogmet system. Specifically, students will identify the appropriate statistics for different types of data. Each exam/quiz will also include an essay question. Students will demonstrate the ability to understand and critically interpret descriptive and inferential statistics found within their essay as measured by a common rubric on a 0 to 4 scale. The first two exams account for 40% of the final grade, the final exam is 25% of the final grade, and quizzes make up 10% of the final grade.

2. Assignments (10%) – Empirical and Quantitative Skills will be demonstrated by student performance on nine

home-work assignments (see course schedule below). Students will be evaluated on the ability to compute and interpret descriptive and inferential statistics. Assignments must be completed by the due date. The assignments will be available under “Assignments” section of the cogmet site.

3. Attendance (5%) – Students are expected to attend class and stay current with assigned work. Failure to do

so will have a negative impact on your class performance and grade. Class attendance will be taken daily. Furthermore, you will be dropped a letter grade for any two (2) unexplained absences (i.e., without prior notification, a verifiable excuse, etc).

4. Statistical Package for the Social Sciences (SPSS) Project (10%) – Social Responsibility, Communication,

Critical Thinking and Empirical and Quantitative skills will be assessed within this project. Students will be asked to Carry-out a project, analyzing data and writing up the results to demonstrate how to organize, summarize data, interpret while communicate their findings both written and orally. The project emphasis will be on four issues: (1) generating a question that can be answered using statistics, (2) deciding on the appropriate statistical technique to be used, (3) using SPSS to conduct the statistical analyses and (4) writing up and interpreting the results using correct APA style. In class presentation will include relating how data driven results can impact public policy and or impact communities, nations, and the world. The project will be assessed using a common rubric on a 0 to 4 scale. Additional information will be given in class.

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Course Procedures and Additional Instructor Policies Course Procedures Class sessions will consist of lectures on assigned material and activities where you will get “hands on” experience in statistical methods. While I will spend part of our time together supplementing your text through lectures, learning is best accomplished when we share information through open classroom discussions. Therefore, I expect you to

come to class having read the assigned pages and having completed the assigned work. The course website

address is http://cogmet.com. Extra Credit A very small amount of extra credit may be available during the course for participation in psychology research studies or for completing extra assignments and will be determined by the availability of research participation and relevant topics for additional assignments. Opportunities for extra credit will be announced in class. Submission of Assignments: Assignments are to be turned in using cogmet.com on the due dates. Formatting Documents: Microsoft Word is the standard word processing tool used at PVAMU. If you’re using other word processors, be sure to use the “save as” tool and save the document in either the Microsoft Word, Rich-Text, or plain text format. Exam Policy Exams should be taken as scheduled. No makeup examinations will be allowed except under documented emergencies (See Student Handbook). Make-up exams, quizzes, and assignments will only be available for fully documented (in writing) medical and family emergencies. If you need to miss an exam, quiz, or assignment for an emergency please let me know as soon as is reasonably possible. Bring to the next class written documentation and a phone number and name for use in verifying the emergency. Taskstream Taskstream is a tool that Prairie View A&M University uses for assessment purposes. One of your assignments may be considered an "artifact,” an item of coursework that serves as evidence that course objectives are met. More information will be provided during the semester, but for general information, you can visit Taskstream via the link in eCourses.

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Semester Calendar

Week Topic Core Curriculum Objectives

Week 1

Introduction to the course Pre-test Statistics 1

What Is a Statistical Model?

Fundamental Terminology

Four-Step Process in Statistical Modeling

Week 2

Simple Linear Regression

The Simple Linear Regression Model

Conditions for a Simple Linear Model

Assessing Conditions

Transformations

Outliers and Influential Points

Communication

Empirical &

Quantitative Skills

Week 3

Inference for Simple Linear Regression

Inference for Regression Slope

Partitioning Variability—ANOVA

Regression and Correlation

Intervals for Predictions

Communication

Empirical &

Quantitative Skills

Week 4 Data Entry and Analysis in SPSS

Empirical &

Quantitative Skills

Week 5

Data Entry and Analysis in SPSS

Assignment # 1 due

SPSS Activity/Assignment

Critical Thinking

Week 6

Multiple Regression

Multiple Linear Regression Model

Assessing a Multiple Regression Model

Comparing Two Regression Lines

New Predictors from Old

Correlated Predictors

Testing Subsets of Predictors

Assignment # 2 due

Critical Thinking;

Communication

Empirical &

Quantitative Skills

Week 7

Additional Topics in Regression

Topic: Added Variable Plots

Topic: Techniques for Choosing Predictors

Topic: Identifying Unusual Points in Regression

Topic: Coding Categorical Predictors

Topic: Randomization Test for a Relationship

Topic: Bootstrap for Regression

Critical Thinking

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Assignment # 3 due

Week 8 Exam # 1

Critical Thinking;

Communication

Social Responsibility;

Empirical &

Quantitative Skills

Week 9

One-Way ANOVA

The One-Way Model: Comparing Groups

Assessing and Using the Model

Scope of Inference

Fisher’s Least Significant Difference


Critical Thinking

Week 10

Multifactor ANOVA

The Two-Way Additive Model (Main Effects Model)

Interaction in the Two-Way Model

Two-Way Nonadditive Model (Two-Way ANOVA with

Interaction) .


Assignment # 4 due

Critical Thinking;

Communication

Empirical &

Quantitative Skills

Week 11

Additional Topics in Analysis of Variance

Topic: Levene’s Test for Homogeneity of Variances

Topic: Multiple Tests

Topic: Comparisons and Contrasts

Topic: Nonparametric Statistics

Topic: ANOVA and Regression with Indicators

Topic: Analysis of Covariance

Data Entry and Analysis in SPSS SPSS Activity/Assignment Assignment # 5 due

Critical Thinking

Week 12 Exam # 2 Critical Thinking;

Communication

Social Responsibility;

Week 13

Overview of Experimental Design

Comparisons and Randomization

Randomization F-Test

Design Strategy: Blocking

Design Strategy: Factorial Crossing

Data Entry and Analysis in SPSS SPSS Activity/Assignment Assignment # 6 due

Critical Thinking

Week 14

Logistic Regression

Choosing a Logistic Regression Model

Logistic Regression and Odds Ratios

Assessing the Logistic Regression Model

Formal Inference: Tests and Intervals


Empirical &

Quantitative Skills

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Assignment # 7 due

Week 15

Multiple Logistic Regression

Overview

Choosing, Fitting, and Interpreting Models

Checking Conditions

Formal Inference: Tests and Intervals Data Entry and Analysis in SPSS Assignment # 9 due

Critical Thinking;

Empirical &

Quantitative Skills

Additional Topics in Logistic Regression

Topic: Fitting the Logistic Regression Model

Topic: Assessing Logistic Regression Models

Randomization Tests for Logistic Regression

Analyzing Two-Way Tables with Logistic Regression


Writing Results in APA format Project Description Exam # 3 SPSS Activity/Assignment

Critical Thinking

Final Exam SPSS Activity/Project Completion

Critical Thinking;

Empirical &

Quantitative Skills

Student Support and Success John B. Coleman Library The library and its partners have as their mission "to provide resources and instructional material in support of the evolving curriculum, as a partner in Prairie View A&M University's mission of teaching, research, and service" and to support the University's core values of "access and quality, diversity, leadership, relevance, and social responsibility" through emphasis on ten key areas of service. It maintains library collections and access both on campus, online, and through local agreements to further the educational goals of students and faculty. Center for Academic Support The Center for Academic Support (CAS) offers Tutoring via peer tutoring. The services include workshops (i.e., Save My Semester, Recalculate Your Route), seminars (i.e., Tools You Can Use: TI-84), group review sessions (i.e., College Algebra Topic Reviews, GRE Preparation), group study opportunities (i.e., TSIA, HESI, Study Break, Exam Cram), and test-taking strategies (How to take Notes, Study Buddy, 5 Day Study Guide). The Tutoring Center is a nationally certified tutoring program through the National Tutoring Association. The peer tutors are trained and certified by the coordinator each semester. Location: J.B. Coleman Library COMPASS The Center for the Oversight and Management of Personalized Academic Student Success (COMPASS) is designed to help Prairie View students in their second year and beyond navigate towards graduation by providing the following services: Academic Advisement, Targeted Tutorials for Personalized Learning, Campus-Wide Referrals, and Academic & Social Workshops. Location: J.B. Coleman Library Writing Center The Writing Center provides student consultants on all aspects of the writing process and a variety of writing assignments. Writing Center consultations assist students in such areas as prewriting, brainstorming, audience awareness, organization, research, and citation. Location: Hilliard Hall 121

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University Rules and Procedures

Disability statement (See Student Handbook): Students with disabilities, including learning disabilities, who wish to request accommodations in class should register with the Services for Students with Disabilities (SSD) early in the semester so that appropriate arrangements may be made. In accordance with federal laws, a student requesting special accommodations must provide documentation of their disability to the SSD coordinator. Academic misconduct (See Student Handbook): You are expected to practice academic honesty in every aspect of this course and all other courses. Make sure you are familiar with your Student Handbook, especially the section on academic misconduct. Students who engage in academic misconduct are subject to university disciplinary procedures. Forms of academic dishonesty:

1. Cheating: deception in which a student misrepresents that he/she has mastered information on an academic exercise that he/she has not mastered; giving or receiving aid unauthorized by the instructor on assignments or examinations.

2. Academic misconduct: tampering with grades or taking part in obtaining or distributing any part of a scheduled test.

3. Fabrication: use of invented information or falsified research.

4. Plagiarism: unacknowledged quotation and/or paraphrase of someone else’s words, ideas, or data as one’s own in work submitted for credit. Failure to identify information or essays from the Internet and submitting them as one’s own work also constitutes plagiarism.

Nonacademic misconduct (See Student Handbook) The university respects the rights of instructors to teach and students to learn. Maintenance of these rights requires campus conditions that do not impede their exercise. Campus behavior that interferes with either (1) the instructor’s ability to conduct the class, (2) the inability of other students to profit from the instructional program, or (3) campus behavior that interferes with the rights of others will not be tolerated. An individual engaging in such disruptive behavior may be subject to disciplinary action. Such incidents will be adjudicated by the Dean of Students under nonacademic procedures. Sexual misconduct (See Student Handbook): Sexual harassment of students and employers at Prairie View A&M University is unacceptable and will not be tolerated. Any member of the university community violating this policy will be subject to disciplinary action. Attendance Policy Prairie View A&M University requires regular class attendance. Excessive absences will result in lowered grades. Excessive absenteeism, whether excused or unexcused, may result in a student’s course grade being reduced or in assignment of a grade of “F”. Absences are accumulated beginning with the first day of class. Student Academic Appeals Process Authority and responsibility for assigning grades to students rests with the faculty. However, in those instances where students believe that miscommunication, errors, or unfairness of any kind may have adversely affected the instructor's assessment of their academic performance, the student has a right to appeal by the procedure listed in the Undergraduate Catalog and by doing so within thirty days of receiving the grade or experiencing any other problematic academic event that prompted the complaint.

Disability statement (See Student Handbook): Students with disabilities, including learning disabilities, who wish to request accommodations in class should register with the Services for Students with Disabilities (SSD) early in the semester so that appropriate arrangements may be made. In accordance with federal laws, a student requesting special accommodations must provide documentation of their disability to the SSD coordinator.

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TECHNICAL CONSIDERATIONS Minimum Recommended Hardware and Software:

Intel PC or Laptop with Windows 7; Mac with OS X; Smartphone or iPad/Tablet with Wi-Fi

High speed Internet access

8 GB Memory

Hard drive with 320 GB storage space

15” monitor, 800x600, color or 16 bit

Sound card w/speakers

Microphone and recording software

Keyboard & mouse

Most current version of Google Chrome, Safari, Internet Explorer or Firefox Note: Be sure to enable Java & pop-ups Participants should have a basic proficiency of the following computer skills:

Sending and receiving email

A working knowledge of the Internet

Proficiency in Microsoft Word (or a program convertible to Word)

Proficiency in the Acrobat PDF Reader

Basic knowledge of Windows or Mac O.S. Netiquette (online etiquette):

Students are expected to participate in all discussions and virtual classroom chats as directed. Students are to be respectful and courteous to others on discussions boards. Foul or abusive language will not be tolerated.

Technical Support:

Students should go to https://mypassword.pvamu.edu/ if they have password issues. The page will provide instructions for resetting passwords and contact information if login issues persist. For other technical questions regarding eCourses, call the Office of Distance Learning at 936-261-3283

Communication Expectations and Standards:

Emails or discussion postings will receive a response from the instructor, usually in less than 48 hours. Urgent emails should be marked as such. Check regularly for responses.

Discussion Requirement:

Online courses often require minimal to no face-to-face meetings. However, conversations about the readings, lectures, materials, and other aspects of the course can take place in a seminar fashion. This will be accomplish by the use of the discussion board. The exact use of discussion will be determined by the instructor.

It is strongly suggested that students type their discussion postings in a word processing application and save it to their PC or a removable drive before posting to the discussion board. This is important for two reasons: 1) If for some reason your discussion responses are lost in your online course, you will have another copy; 2) Grammatical errors can be greatly minimized by the use of the spell-and-grammar check functions in word processing applications. Once the post(s) have been typed and corrected in the word processing application, it should be copied and pasted to the discussion board.

FALL 2018 – FULL TERM

The Prairie View A&M Academic Calendar is subject to change.

Jul 20 Tuition bills for the fall semester distributed to students via PVAMU

https://mypassword.pvamu.edu/

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Friday email address

Aug 23 - Aug 24

Thursday through Friday

Regular Registration

Aug 27

Monday

Tuition payment deadline is 5:00 p.m. for all students who registered for the fall semester

Aug 27 - Aug 29

Monday through Wednesday

Late registration for the fall semester for all students who have not yet registered. To complete registration, students must pay by 5:00 p.m. on Wednesday, September 19

Aug 27 - Aug 31

Monday through Friday

Add/Drop for all students for the fall semester. Tuition payment for all students who add/drop for fall must pay by 5:00 p.m. on Wednesday, September 19

Aug 27

Monday

First Class Day

Sep 03

Monday

Labor Day Holiday (University closed)

Sep 04

Tuesday

Class resumes

Sep 12

Wednesday

12th class day (Census Date)

Sep 12

Wednesday

Last day to withdraw from course(s) without academic record

Sep 13 - Nov 02

Thursday through

Withdrawal from course(s) with academic record (“W”)

10

Friday

Sep 19

Wednesday

Tuition payment deadline is 5:00 p.m. for all students who late registered and add/drop for fall semester

Sep 24

Monday

20th class day

Sep 25 - Dec 04

Tuesday through Tuesday

Submit application for Tuition Rebate for fall graduation undergraduate candidates

Oct 18 - Oct 20

Thursday through Saturday

Mid-semester examination

Oct 23

Tuesday

Mid-semester grades due by 11:59 p.m.

Oct 31

Wednesday

Last day to apply for fall graduation (ceremony participation)

Nov 01 - Dec 04

Thursday through Tuesday

Apply for degree conferral only for fall graduation (no ceremony participation or name listed in program)

Nov 02

Friday

Last day for withdrawal from course(s) with academic record (“W”)

Nov 05

Monday

60% of term

Nov 12 - Nov 16 Priority registration for continuing students for spring semester. https://www.pvamu.edu/registrar/priority-registration-schedule/

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Nov 19 - Jan 11, 2019


Pre-registration for all students for the spring semester

Nov 22 - Nov 24

Thursday through Saturday

Thanksgiving Holidays (University closed)

Nov 26

Monday

Class resumes

Dec 03 - Dec 04

Monday through Tuesday

Course Review Days (classes must convene and instructors will prepare students for final exams)

Dec 04

Tuesday

Last day to apply for degree conferral only for fall graduation (no ceremony participation or name listed in program)

Dec 04

Tuesday

Last Class Day

Dec 04

Tuesday

Last day to submit application for Tuition Rebate for fall graduation undergraduate candidates

Dec 04

Tuesday

Last day to withdraw from the University

Dec 05 - Dec 11

Wednesday through Tuesday

Final Examinations

Dec 13 Final grades due for graduation candidates by Noon

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Thursday

Dec 15

Saturday

Fall Commencement

Dec 18

Tuesday

Final grades due for all other students by 11.59 p.m.